Sr. Machine Learning Engineer

CrowdStrike is hiring a Sr. Machine Learning Engineer for the AIDR Engineering Team to support high-throughput, low-latency LLM inferencing and related post-training and data engineering.

Responsibilities

• Innovate with state-of-the-art machine learning technology to accelerate data science
• Provide pragmatic engineering support for fast-moving R&D teams
• Build and maintain high-quality, scalable solutions for customer-facing applications
• Conduct in-depth analysis to identify potential vulnerabilities or gaps
• Construct and maintain data pipelines, and contribute to training and implementation of custom models
• Collaborate across teams to brainstorm, define, and devise solutions
• Embrace ongoing learning and self-improvement
• Stay aligned with customer challenges and improve support to address them
• Maintain top-tier coding quality with best practices, rigorous testing, and thorough logging and metrics
• Work in a collaborative, agile team environment
• Mentor fellow engineers across a spectrum of technologies, while learning from them
• Explore improvements to product architecture, knowledge models, user experience, performance, and reliability
• Own work end to end with autonomy: develop, test, deploy, and monitor changes
• Thrive in an environment that highly values trust

Requirements

• Prior experience in data engineering and architecture supporting advanced data science use cases
• Deep understanding of LLM post-training methods and computational architectures
• Understanding of scalability and distributed systems (including sharding, partitioning, and concurrency)
• Ability to work as a team player
• Strong engineering best practices, including appropriate testing, peer code reviews, and resilient architecture
• Ability to thrive in a test-driven, collaborative, iterative development environment
• Track record of delivering time-bound, high-quality software with unit testing, code review, and regular checks-in for continuous integration
• Proven experience applying AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes

Technologies

• Python
• Docker
• Kubernetes
• AWS
• GCP
• MaaS
• Kafka
• Cassandra
• Spark
• ElasticSearch
• Terraform
• Chef
• Ansible

Tech Stack (Learning Capacity Required)

• High-level coding language such as JVM technologies or Python
• Docker
• Kubernetes
• AWS, GCP, or MaaS
• Kafka, Cassandra, and Spark
• ElasticSearch
• Terraform, Chef, or Ansible
• Experience scaling inference across GPUs or GPU clusters

Bonus Points

• Existing, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning
• Prior experience in cybersecurity or intelligence fields

Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe
• Health insurance
• 401k
• Paid time off

Location: Remote

Salary: USD 140,000 - 215,000 per year